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    Statistical methods in language and linguistic research / Pascual Cantos Gómez.

    • Title:Statistical methods in language and linguistic research / Pascual Cantos Gómez.
    •    
    • Author/Creator:Cantos Gómez, Pascual.
    • Published/Created:Sheffield ; Bristol, CT : Equinox, 2013.
    • Holdings

       
    • Library of Congress Subjects:Linguistics--Statistical methods.
      Language and languages--Study and teaching--Statistical methods.
      Mathematical linguistics.
    • Medical Subjects: Linguistics
    • Description:xii, 260 pages : illustrations ; 24 cm
    • Summary:Statistical Methods in Language and Linguistic Research illustrates with numerous examples how quantitative methods can most fruitfully contribute to linguistic analysis and research. It does not intend to offer an exhaustive presentation of all statistical techniques available to linguistics, but to demonstrate the contribution that statistics can and should make to linguistic studies. This book shows how quantitative methods and statistical techniques can supplement qualitative analyses of language. It attempts to present some mathematical and statistical properties of natural languages, and introduces some of the quantitative methods which are of the most value in working empirically with texts and corpora, illustrating the various issues with numerous examples and moving from the most basic descriptive techniques to decision-taking techniques and to more sophisticated multivariate statistical language models. Publisher's note.
    • Notes:Includes bibliographical references and index.
    • ISBN:9781845534318 (hb)
      184553431X (hb)
      9781845534325 (pb)
      1845534328 (pb)
    • Contents:Machine generated contents note: 1. Some basic issues
      1.1. Introduction
      1.2. Measures of central tendency
      1.3. Proportions and percentages
      1.4. Dispersion
      1.5. Standard scores
      1.6. Distributions
      1.7. Probability
      2. Scales and variables
      2.1. Types of scales
      2.2. Types of variables
      3. Parametric versus non-parametric statistics
      3.1. Introduction
      3.2. Parametric tests
      3.3. Non-parametric tests
      4. Reducing dimensionality: multivariate statistics
      4.1. Introduction
      4.2. Cluster analysis
      4.3. Discriminant function analysis
      4.4. Factor analysis
      4.5. Multiple regression
      5. Word frequency lists
      5.1. Typology and usefulness
      5.2. Keywords
      5.3. Text annotation
      5.4. Comparing wordlists
      5.5. Frequency distributions
      6. Words in context
      6.1. Concordances
      6.2. Collocations
      6.3. Measuring collocation strength
      6.4. Qualitative and quantitative data analysis: an example
      Appendices
      1. Standard normal distribution
      2. Examples of appropriate statistics
      3. t-distribution
      4. F-distribution
      5. Pearson product-moment correlation coefficient
      6. U-distribution for the Mann
      Whitney test
      7. Sign test
      8. Chi-square distribution
      9. Spearman rank correlation coefficient.
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